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Transport Number01:31

Transport Number

The transport number is the fraction of the total current carried by an ion in an electrolyte solution. It is defined as the ratio of the current carried by a specific ion to the total current flowing through the solution. The transport number, t, is central to understanding ionic mobility, which describes how fast an ion moves under the influence of an electric field. This link connects the physical behavior of ions in solution to the chemical processes that occur during electrochemical...
Carrier Transport01:21

Carrier Transport

The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
Expressing Solution Concentration02:48

Expressing Solution Concentration

A solute is a component of a solution that is typically present at a much lower concentration than the solvent. Solute concentrations are often described with qualitative terms such as dilute (of relatively low concentration) and concentrated (of relatively high concentration).
Concentrations may be quantitatively assessed using a wide variety of measurement units, each convenient for particular applications. Molarity (M) is a useful concentration unit for many applications in chemistry.
Diffusion01:21

Diffusion

Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
Diffusion01:12

Diffusion

Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit mass.

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Related Experiment Video

Updated: Jun 21, 2026

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Concentration statistics for transport in random media.

Marco Dentz1, Diogo Bolster, Tanguy Le Borgne

  • 1Institute of Environmental Assessment and Water Research (IDAEA-CSIC), 08034 Barcelona, Spain. marco.dentz@upc.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 8, 2009
PubMed
Summary

Particle density in random media, described by continuous time random walks (CTRW), is not self-averaging. Anomalous CTRW shows higher concentration variance than normal CTRW, impacting extreme value analysis.

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Related Experiment Videos

Last Updated: Jun 21, 2026

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
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Published on: June 12, 2015

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Area of Science:

  • Physics
  • Physical Chemistry
  • Applied Mathematics

Background:

  • Particle transport in random media is fundamental to many scientific disciplines.
  • Continuous Time Random Walks (CTRW) model anomalous diffusion and transport phenomena.
  • Understanding ensemble statistics is crucial for predicting system behavior.

Purpose of the Study:

  • To investigate the ensemble statistics of particle density in random media.
  • To derive evolution equations for concentration moments using a Langevin equation approach.
  • To analyze the self-averaging properties and variance of particle concentration under different transport regimes.

Main Methods:

  • Derivation of evolution equations for n-point moments of concentration.
  • Coarse-graining and ensemble averaging of microscale transport.
  • Analysis of multidimensional continuous time random walks with disorder-dependent waiting times.

Main Results:

  • Particle concentration is not self-averaging, even for normal mean transport behavior.
  • The relative concentration variance is greater for anomalous continuous time random walks compared to normal behavior.
  • Governing equations for multidimensional CTRWs were derived, with waiting times dependent on disorder distribution.

Conclusions:

  • The non-self-averaging nature of particle concentration has implications for stochastic dynamic systems.
  • Findings are relevant for risk assessment and extreme value analysis in systems exhibiting anomalous diffusion.
  • The study provides a theoretical framework for understanding particle transport in complex random environments.